Dawn Waterworth
- Epidemiology top 2%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Public Health, Environmental and Occupational Health top 2%
- Genetics top 2%
- Co-authors
- Davinia WhiteVincent MooserStephen FranksGérard WaeberMark I. McCarthyNeda GharaniPéter VollenweiderRobert Williamson
- Topics
- Genetic Associations and Epidemiology (26 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Liver Disease Diagnosis and Treatment (14 papers)
- Journals
- The LancetCirculationSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Dawn Waterworth
81 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Epidemiology 1.2k
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 1.1k
- Public Health, Environmental and Occupational Health 910
- Genetics 874
Countries citing papers authored by Dawn Waterworth
This map shows the geographic impact of Dawn Waterworth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dawn Waterworth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Waterworth more than expected).
Fields of papers citing papers by Dawn Waterworth
This network shows the impact of papers produced by Dawn Waterworth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dawn Waterworth. The network helps show where Dawn Waterworth may publish in the future.
Co-authorship network of co-authors of Dawn Waterworth
This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Waterworth. A scholar is included among the top collaborators of Dawn Waterworth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dawn Waterworth. Dawn Waterworth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 15 | |
| 6 | 49 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 47 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 36 | |
| 14 | 9 | |
| 15 | 36 | |
| 16 | 42 | |
| 17 | 20 | |
| 18 | 254 | |
| 19 | 30 | |
| 20 | 372 |
About Dawn Waterworth
Dawn Waterworth is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Liver Disease Diagnosis and Treatment (14 papers). The work is most often cited by research in Reproductive Medicine (804 citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Hepatology (345 citations). Dawn Waterworth has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Davinia White, Vincent Mooser, Stephen Franks, Gérard Waeber, Mark I. McCarthy, Neda Gharani, Péter Vollenweider, Robert Williamson, Xin Yuan and Philippa J. Talmud. Their work appears in journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.